Park, Hyunjung and Widom, Jennifer (2014) CrowdFill: Collecting Structured Data from the Crowd. In: ACM SIGMOD International Conference on Management of Data, Snowbird, Utah.
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We present CrowdFill, a system for collecting structured data from the crowd. While a typical microtask-based approach would pose specific questions to each worker and assemble the answers, CrowdFill shows a partially-filled table to all participating workers. Workers contribute by filling in empty cells, as well as upvoting and downvoting data entered by other workers. The system's synchronization scheme, based on a careful model of primitive operations, enables workers to collaboratively complete the table without latency overhead. CrowdFill allows the specification of constraints on the collected data, and has mechanisms for resolving inconsistencies. Its compensation scheme takes into account each worker's contribution to the final table, and the varying difficulty of data entry tasks. The paper includes some preliminary experimental results.
|Item Type:||Conference or Workshop Item (Paper)|
|Deposited By:||Hyunjung Park|
|Deposited On:||07 Dec 2013 14:07|
|Last Modified:||22 Apr 2014 23:51|
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